AI Talent Pool

Parisonsite

via Greenhouse

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About this role

Are you passionate about artificial intelligence and want to contribute to revolutionizing the healthcare sector? Doctolib develops cutting-edge AI solutions to improve access to care and facilitate the daily lives of healthcare professionals and patients. Our AI/ML teams work on large-scale projects: medical natural language processing, recommendation systems, clinical process automation, and much more. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here! By joining our AI talent pool, you will be contacted as a priority for our future opportunities in the following areas: The areas of expertise we are looking for :…

Read the full description on Doctolib's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, kubernetes, docker, scikit-learn, pytorch…

Level fit

We check your title trajectory against the seniority signal of the role.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Paris. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonkubernetesdockerscikit-learnpytorchtensorflowmlflowteams

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